rafaelpadilla/DeepLearning-VDAO

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Created over 6 years ago
Updated almost 3 years ago

rafaelpadilla/DeepLearning-VDAO

rafaelpadilla

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Here are some of the results of my experiments applying Deep Learning for object detection.

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

review_object_detection_metrics

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

darknet

Useful functionalities added on the original darknet public repository.

Deep-Learning-Topics

Jupyter Notebook

TCF-LMO

TCF-LMO is a network made with dedicated modules to process videos and identify the presence of anomalies in frames. It is composed by: dissimilarity model; a differentiable morphology module; temporal consistency; and classification module.

Pos-Palmas-Modulo-CSharp

Aulas do módulo de C# do curso de Pós-Graduação em Desenvolvimento de Software para Dispositivos Móveis (Católica Palmas-TO)

Pos-Palmas-Modulo-Xamarin

Aulas do módulo de Xamarin do curso de Pós-Graduação em Desenvolvimento de Software para Dispositivos Móveis (Católica Palmas-TO)

spatial-temporal-action-detection

coco_metrics